course-details-portlet

IIK8001 - Human factor methods for Information Security Research

About

Examination arrangement

Examination arrangement: Term paper
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Term paper 100/100

Course content

This is a PhD-level course.

When implementing cyber- and information security theories and solutions to practical cases, possibly one main challenge is the knowledge shortage of and uncertainty associated with human factors. The practical needs to identify, measure, and possibly engineer them in a security research and development task become increasingly noticeable. This course selects and discusses some basic concepts and methods for understanding and engineering human factors through team-based learning, lectures, knowledge-sharing-oriented group discussion, and a term paper investigating the usefulness of human factor methods in the student's research work.

Learning outcome

Knowledge:

The students are expected to know some selected topics of

  • Science, research methods, and qualitative approaches
  • Human factor methods and ergonomics
  • Security practice
  • Technological laws and ethics

Skills:

The students are expected to know how to

  • Identify human factors and their potential impact on a research plan
  • Measure and manage human factors by established methods
  • Apply the human factor methods in research work

General Competence:

The students are expected to be

  • Ability to argue and discuss human factor methods with peer researchers
  • Ability to critique human factor methods in a specific research work
  • Ability to suggest and recommend human factor methods to a specific research work

Learning methods and activities

  • Team-Based Learning (TBL) with lecture 2 sessions (2 x 90 minutes) (obligatory participation)
  • 2 Guest lectures (obligatory participation)
    • Technological ethics
    • Security practice
  • 4 post-lecture short reports (2-4 pages each) relating to one’s PhD work
  • Course project which either identifies and maps human factor methods to your PhD research tasks, and arguing why they can be suitable, with evidence to prove / disprove their effectiveness; or innovates human factor method(s) to suit your PhD research task(s) with evaluation method and preferably evaluation result.
    • Course project plan presentation to define learning outcome, learning methods, and assessment methods
    • Course project mid-term assessment presentation
    • Course project final presentation and report for a summative assessment (10 - 20 pages, 10-50 references)

Compulsory assignments

  • Mandatory assignment

Further on evaluation

Evaluation

  • Obligatory attendance of the 2 TBL sessions and the 2 guest lecture sessions
  • Obligatory presentations for the course project plan and the mid-term assessment
  • Course project final presentation and report, and both are required to pass

Required previous knowledge

This is a PhD-level course and the students need to be already enrolled in a NTNU PhD program.

Course materials

List under continuous updating:

  • Hugh Coolican. Research Methods and Statistics in Psychology (7th Edition). Routledge, 2019.
  • Neville A. Stanton, Paul M. Salmon, Laura A. Rafferty, Guy H. Walker, Chris Baber, Daniel P. Jenkins. (2nd Edition) Human Factors Methods: A Practical Guide for Engineering and Design. July 26, 2013 by CRC Press, ISBN 9781409457541

More on the course

No

Facts

Version: 1
Credits:  5.0 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Information Technology and Informatics
Contact information
Course coordinator:

Department with academic responsibility
Department of Information Security and Communication Technology

Examination

Examination arrangement: Term paper

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Term paper 100/100

Submission
2024-12-20


23:59

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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